Evidence map›Paper›PMID 36080635›Full record

ArticlePolymers2022

Simulation of the Particle Transport Behaviors in Nanoporous Matter.

You Wu, Dandan Ju, Hao Wang, Chengyue Sun, Yiyong Wu, Zhengli Cao, Oleg V Tolochko

Abstract read
In one paragraph

Article in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

You WuSchool of Material Science and Engineering, Harbin Institute of Technology, Harbin 150006, China.
Dandan JuResearch Center of Space Physics and Science, Harbin Institute of Technology, Harbin 150006, China.
Hao WangResearch Center of Space Physics and Science, Harbin Institute of Technology, Harbin 150006, China.
Chengyue SunResearch Center of Space Physics and Science, Harbin Institute of Technology, Harbin 150006, China.
Yiyong WuSchool of Material Science and Engineering, Harbin Institute of Technology, Harbin 150006, China.
Zhengli CaoAerospace System Engineering Shanghai, Shanghai 200000, China.
Oleg V TolochkoSchool of Material Science and Engineering, Peter the Great Saint Petersburg Polytechnic University, 195251 Saint Petersburg, Russia.ORCID 0000-0001-9623-4001

Funding

Open Foundation from National Key Laboratory of Materials Behavior and Evaluation Technology in Space Environments 2021XXX
6 · The paper itself

Abstract

The transport behaviors of proton into nanoporous materials were investigated using different Monte Carlo simulation codes such as GEANT4, Deeper and SRIM. The results indicated that porous structure could enhance the proton scattering effects due to a higher specific surface area and more boundaries. The existence of voids can deepen and widen the proton distribution in the targets due to relatively lower apparent density. Thus, the incident protons would transport deeper and form a wider Bragg peak in the end of the range, as the target materials are in a higher porosity state and/or have a larger pore size. The existence of voids also causes the local inhomogeneity of proton/energy distribution in micro/nano scales. As compared, the commonly used SRIM code can only be used to estimate roughly the incident proton range in nanoporous materials, based on a homogeneous apparent density equivalence rule. Moreover, the estimated errors of the proton range tend to increase with the porosity. The Deeper code (designed for evaluation of radiation effects of nuclear materials) can be used to simulate the transport behaviors of protons or heavy ions in a real porous material with porosity smaller than 52.3% due to its modeling difficulty, while the GEANT4 code has shown advantages in that it is suitable and has been proven to simulate proton transportation in nanoporous materials with porosity in its full range of 0~100%. The GEANT4 simulation results are proved consistent with the experimental data, implying compatibility to deal with ion transportation into homogeneously nanoporous materials.

Indexed as

GEANT4 codeMonte Carlonanoporous matterprotontransport behavior

Identifiers

PMID36080635
PMCPMC9460147

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.